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Ndetei DM, Mutiso V, Musyimi C, Nyamai P, Lloyd C, Sartorius N. Association of type 2 diabetes with family history of diabetes, diabetes biomarkers, mental and physical disorders in a Kenyan setting. Sci Rep 2024; 14:11037. [PMID: 38745063 PMCID: PMC11094016 DOI: 10.1038/s41598-024-61984-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 05/13/2024] [Indexed: 05/16/2024] Open
Abstract
This study aimed to determine the degree of family relations and associated socio-demographics characteristics, clinical/physical and mental disorders in type 2 diabetes mellitus in a Kenyan diabetes clinic. This study was part of a large multicentre study whose protocol and results had been published. It took place at the outpatient diabetes clinic at a County Teaching and Referral Hospital in South East Kenya involving 182 participants. We used a socio-demographic questionnaire, the Hamilton Depression (HAM-D) and PHQ-9 rating scales for depression, the MINI International Neuropsychiatric Interview (MINI; V5 or V6) for DSM-5 diagnoses, the WHO-5 Well-being scale and Problem Areas in Diabetes Scale (PAID). We extracted from the notes all physical conditions. We enquired about similar conditions in 1st and 2nd degree relatives. Descriptive, Chi-square test, Fisher's exact test, one way ANOVA, and Multinomial logistic regression analysis were conducted to test achievements of our specific aims. Of the 182 patients who participated in the study, 45.1% (82/182) reported a family history of diabetes. Conditions significantly (p < 0.05) associated with a degree of family history of diabetes were retinopathy, duration of diabetes (years), hypertension, and depressive disorder. On average 11.5% (21/182) scored severe depression (≥ 10) on PHQ-9 and 85.2% (115/182) scored good well-being (≥ 13 points). All DSM-5 psychiatric conditions were found in the 182 patients in varying prevalence regardless of relations. In addition, amongst the 182 patients, the highest prevalence was poor well-being on the WHO quality of life tool. This was followed by post-traumatic disorders (current), suicidality, and psychotic lifetime on DSM-5. The least prevalent on DSM-5 was eating disorders. Some type 2 diabetes mellitus physical disorders and depression have increased incidence in closely related patients. Overall, for all the patients, the prevalence of all DSM-5 diagnoses varied from 0.5 to 9.9%.
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Affiliation(s)
- David M Ndetei
- Department of Psychiatry, University of Nairobi, Nairobi, Kenya.
- Africa Mental Health Research and Training Foundation, Mawensi Road, Off Elgon Road, Mawensi Garden, P.O. Box 48423-00100, Nairobi, Kenya.
- World Psychiatric Association Collaborating Centre for Research and Training, Nairobi, Kenya.
| | - Victoria Mutiso
- Africa Mental Health Research and Training Foundation, Mawensi Road, Off Elgon Road, Mawensi Garden, P.O. Box 48423-00100, Nairobi, Kenya
- World Psychiatric Association Collaborating Centre for Research and Training, Nairobi, Kenya
| | - Christine Musyimi
- Africa Mental Health Research and Training Foundation, Mawensi Road, Off Elgon Road, Mawensi Garden, P.O. Box 48423-00100, Nairobi, Kenya
- World Psychiatric Association Collaborating Centre for Research and Training, Nairobi, Kenya
| | - Pascalyne Nyamai
- Africa Mental Health Research and Training Foundation, Mawensi Road, Off Elgon Road, Mawensi Garden, P.O. Box 48423-00100, Nairobi, Kenya
- World Psychiatric Association Collaborating Centre for Research and Training, Nairobi, Kenya
| | | | - Norman Sartorius
- Association for the Improvement of Mental Health Programmes (AMH), Geneva, Switzerland
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Gu L, Ma Y, Zheng Q, Gu W, Ke T, Li L, Zhao D, Dai Y, Dong Q, Ji B, Xu F, Shi J, Peng Y, Zhang Y, Shen T, Du R, Yang J, Kang M, Peng Y, Wang Y, Wang W. The effects of economic status on metabolic control in type 2 diabetes mellitus at 10 metabolic management centers in China. J Diabetes 2024; 16:e13466. [PMID: 37670495 PMCID: PMC10809306 DOI: 10.1111/1753-0407.13466] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Revised: 07/15/2023] [Accepted: 08/08/2023] [Indexed: 09/07/2023] Open
Abstract
OBJECTIVE This study investigated the association of economic status with metabolic index control in type 2 diabetes mellitus (T2DM) patients. METHODS In total, 37 454 T2DM patients from 10 National Metabolic Management Centers in China were recruited and categorized into two groups: a high-gross domestic product (GDP) group (n = 23 993) and a low-GDP group (n = 13 461). Sociodemographic characteristics, medical histories, and lifestyle factors were recorded. Logistic regression and interaction analysis were performed to evaluate the association of economic status and healthy lifestyle with metabolic control. RESULTS Compared to the low-GDP group, there were fewer patients with glycated hemoglobin (HbA1c) levels ≥7% in the high-GDP group. Fewer patients with a high GDP had an abnormal metabolic state (HbA1c ≥ 7%, blood pressure [BP] ≥130/80 mm Hg, total cholesterol [TCH] ≥4.5 mmol/L or body mass index [BMI] ≥24 kg/m2 ). The risks of developing HbA1c ≥ 7% (odds ratios [OR] = 0.545 [95% CI: 0.515-0.577], p < .001), BP ≥ 130/80 mm Hg (OR = 0.808 [95% CI: 0.770-0.849], p < .001), BMI ≥ 24 kg/m2 (OR = 0.840 [95% CI: 0.799-0.884], p < .001), and an abnormal metabolic state (OR = 0.533 [95% CI: 0.444-0.636], p < .001) were significantly lower in the high-GDP group even after adjustment for confounding factors. Younger participants; those with a family history of diabetes, normal weight, and a physical activity level up to standard; and those who did not drink alcohol in the high-GDP group were predisposed to better glycemic levels. CONCLUSIONS T2DM patients in economically developed regions had better metabolic control, especially glycemic control. A healthy lifestyle had an additive effect on achieving glycemic goals, even among high-GDP patients.
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Affiliation(s)
- Liping Gu
- Department of Endocrinology and Metabolism, Shanghai General HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yuhang Ma
- Department of Endocrinology and Metabolism, Shanghai General HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Qidong Zheng
- Department of Internal medicineThe Second People's Hospital of YuhuanYuhuanChina
| | - Weiqiong Gu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Tingyu Ke
- Department of EndocrinologyThe Second Affiliated Hospital of Kunming Medical UniversityKunmingChina
| | - Li Li
- Department of EndocrinologyThe First Affiliated Hospital of Ningbo UniversityNingboChina
| | - Dong Zhao
- Center for Endocrine Metabolism and Immune Diseases, Beijing Luhe HospitalCapital Medical UniversityBeijingChina
| | - Yuancheng Dai
- Department of Internal medicine of traditional Chinese medicineSheyang Diabetes HospitalYanchengChina
| | - Qijuan Dong
- Department of Endocrinology and MetabolismPeople's Hospital of Zhengzhou Affiliated Henan University of Chinese MedicineZhengzhouChina
| | - Bangqun Ji
- Department of EndocrinologyXingyi People's HospitalXingyiChina
| | - Fengmei Xu
- Department of Endocrinology and Metabolism, Hebi Coal (group). LTDGeneral hospitalHebiChina
| | - Juan Shi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Ying Peng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yifei Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Tingting Shen
- Department of Endocrinology and Metabolism, Shanghai General HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Rui Du
- Department of Endocrinology and Metabolism, Shanghai General HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Jiaying Yang
- Department of Endocrinology and Metabolism, Shanghai General HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Mei Kang
- Clinical Research Center, Shanghai General HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yongde Peng
- Department of Endocrinology and Metabolism, Shanghai General HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yufan Wang
- Department of Endocrinology and Metabolism, Shanghai General HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
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Lee JY, Kim K, Lee S, An WJ, Park SK. Clinical traits and systemic risks of familial diabetes mellitus according to age of onset and quantity: an analysis of data from the community-based KoGES cohort study. Epidemiol Health 2023; 45:e2023029. [PMID: 36915273 PMCID: PMC10586928 DOI: 10.4178/epih.e2023029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 02/08/2023] [Indexed: 03/16/2023] Open
Abstract
OBJECTIVES The aim of this study was to clarify the clinical trait of familial diabetes mellitus (DM) by analyzing participants' risk of DM according to the age of DM onset in parents and siblings, and to evaluate individuals' risk of DM-associated cardiometabolic diseases. METHODS Altogether, 211,173 participants aged ≥40 years from the Korean Genome and Epidemiology Study were included in this study. The participants were divided into groups based on the number (1 or 2 relatives) and age of onset (no DM and early, common, or late onset) of familial DM. Participants' risk of DM was assessed using a Cox regression model with hazard ratios and 95% confidence intervals (CIs). A logistic regression model with odds ratios was used to evaluate associations among the participants' likelihood of acquiring cardiometabolic diseases such as hypertension, chronic kidney disease (CKD), and cardiovascular disease. RESULTS The risk of developing DM was 2.02-fold (95% CI, 1.88 to 2.18) and 2.88-fold (95% CI, 2.50 to 3.33) higher, respectively, in participants with 1 and 2 family members diagnosed with familial DM. It was 2.72-fold (95% CI, 2.03 to 3.66) higher in those with early-onset familial DM. In the early-onset group, the respective risks of hypertension and CKD were 1.87-fold (95% CI, 1.37 to 2.55) and 4.31-fold (95% CI, 2.55 to 7.27) higher than in the control group. CONCLUSIONS The risk of DM and related cardiometabolic diseases was positively associated with the number of family members diagnosed with DM and an early diagnosis in family members with DM.
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Affiliation(s)
- Ju-Yeun Lee
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Integrated Major in Innovative Medical Science, Seoul National University College of Medicine, Seoul, Korea
- Department of Ophthalmology, Myongji Hospital, Hanyang University College of Medicine, Goyang, Korea
| | - Kyungsik Kim
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Cancer Research Institute, Seoul National University, Seoul, Korea
| | - Sangjun Lee
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Cancer Research Institute, Seoul National University, Seoul, Korea
- Department of Biomedicine Sciences, Seoul National University Graduate School, Seoul, Korea
| | - Woo Ju An
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Integrated Major in Innovative Medical Science, Seoul National University College of Medicine, Seoul, Korea
- Cancer Research Institute, Seoul National University, Seoul, Korea
| | - Sue K. Park
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea
- Integrated Major in Innovative Medical Science, Seoul National University College of Medicine, Seoul, Korea
- Cancer Research Institute, Seoul National University, Seoul, Korea
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Xiong X, Wei L, Xiao Y, Han Y, Yang J, Zhao H, Yang M, Sun L. Effects of family history of diabetes on pancreatic β-cell function and diabetic ketoacidosis in newly diagnosed patients with type 2 diabetes: a cross-sectional study in China. BMJ Open 2021; 11:e041072. [PMID: 33431489 PMCID: PMC7802721 DOI: 10.1136/bmjopen-2020-041072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
OBJECTIVE To investigate the association between a parental and/or sibling history of diabetes and clinical characteristics. DESIGN A cross-sectional study. SETTING The data were collected from the endocrinology department of The Second Xiangya Hospital of Central South University from June 2017 to October 2019. PARTICIPANTS A total of 894 newly diagnosed patients with type 2 diabetes were recruited. Data on clinical characteristics were collected from patient medical records. Pancreatic β-cell function and insulin resistance were calculated with the homeostatic model assessment. SPSS V.25.0 was used to perform the analysis. RESULTS The percentages of patients with parental and sibling histories of diabetes were 14.8% and 9.8%, respectively. The prevalence of diabetic ketoacidosis (DKA) was 3.9%. Compared with those with no parental history of diabetes, patients with a parental history of diabetes were characterised by early-onset disease (41.70±10.88 vs 51.17±14.09 years), poor glycaemic control of fasting blood glucose (10.84±5.21 vs 8.91±4.38 mmol/L) and a high prevalence of DKA (7.6% vs 3.3%). The patients with a sibling history of diabetes had later disease onset (56.05±9.86 vs 49.09±14.29 years) and lower BMI (24.49±3.48 vs 25.69±3.86 kg/m2) than those with no sibling history of diabetes. Univariate regression suggested that both parental history (p=0.037) and sibling history (p=0.011) of diabetes were associated with β-cell function; however, multiple regression analysis showed that only a sibling history of diabetes was associated with β-cell function (p=0.038). Univariate regression revealed a positive correlation between parental history of diabetes (p=0.023, OR=2.416, 95% CI 1.132 to 5.156) and DKA. Unfortunately, this correlation was not statistically significant for either patients with a parental history (p=0.234, OR=1.646, 95% CI 0.724 to 3.743) or those with a sibling history (p=0.104, OR=2.319, 95% CI 0.841 to 6.389) after adjustments for confounders. CONCLUSION A sibling history of diabetes was associated with poor β-cell function, and a parental history of diabetes was associated with poor glycaemic control and a high prevalence of DKA.
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Affiliation(s)
- Xiaofen Xiong
- Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Ling Wei
- Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Ying Xiao
- Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Yachun Han
- Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Jinfei Yang
- Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Hao Zhao
- Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Ming Yang
- Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Lin Sun
- Department of Nephrology, The Second Xiangya Hospital, Central South University, Changsha, China
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Xiong XF, Wei L, Xiao Y, Han YC, Yang J, Zhao H, Yang M, Sun L. Family history of diabetes is associated with diabetic foot complications in type 2 diabetes. Sci Rep 2020; 10:17056. [PMID: 33051498 PMCID: PMC7555504 DOI: 10.1038/s41598-020-74071-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Accepted: 09/18/2020] [Indexed: 12/20/2022] Open
Abstract
To investigate the relationship between diabetic foot complications (DFCs) and clinical characteristics, especially the number and types of first-degree family members with diabetes. A total of 8909 type 2 diabetes patients were enrolled. The clinical characteristics of these patients, including DFCs and family history of diabetes (FHD), were collected from medical records. Multiple regression was used to investigate the association between FHD and DFCs after adjusting for confounding factors. The patients with one and more than one first-degree family member with diabetes accounted for 18.7% and 12.8%, respectively. The proportions of the participants with a father with diabetes, a mother with diabetes, both parents with diabetes, siblings with diabetes, father and siblings with diabetes, mother and siblings with diabetes, and both parents and siblings with diabetes were 3.5%, 6.2%, 1.1%, 14.4%, 1.5%, 4%, and 0.7%, respectively. The multiple regression analysis showed that the number of family members with diabetes was positively associated with DFCs. However, among the different types of FHD, only the patients with a mother with diabetes showed a statistical association with DFCs. In addition to FHD, other factors, including gender, body mass index, platelet count, hemoglobin levels, albumin levels, high-density cholesterol levels, diabetic peripheral neuropathy, and the use of lipid-lowering agents, oral hypoglycemic agents, and insulin, were also associated with DFCs. DFCs were associated with different numbers of family members with diabetes and types of FHD. This association reveals the importance of genetic and environmental factors in DFCs and highlights the importance of adding FHD to public health strategies targeting detecting and preventing the disease.
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Affiliation(s)
- Xiao-Fen Xiong
- Department of Nephrology, The Second Xiangya Hospital at Central South University, Hunan Key Laboratory of Kidney Disease and Blood Purification, No.139 Renmin Middle Road, Changsha, 410011, Hunan, China
| | - Ling Wei
- Department of Nephrology, The Second Xiangya Hospital at Central South University, Hunan Key Laboratory of Kidney Disease and Blood Purification, No.139 Renmin Middle Road, Changsha, 410011, Hunan, China
| | - Ying Xiao
- Department of Nephrology, The Second Xiangya Hospital at Central South University, Hunan Key Laboratory of Kidney Disease and Blood Purification, No.139 Renmin Middle Road, Changsha, 410011, Hunan, China
| | - Ya-Chun Han
- Department of Nephrology, The Second Xiangya Hospital at Central South University, Hunan Key Laboratory of Kidney Disease and Blood Purification, No.139 Renmin Middle Road, Changsha, 410011, Hunan, China
| | - Jinfei Yang
- Department of Nephrology, The Second Xiangya Hospital at Central South University, Hunan Key Laboratory of Kidney Disease and Blood Purification, No.139 Renmin Middle Road, Changsha, 410011, Hunan, China
| | - Hao Zhao
- Department of Nephrology, The Second Xiangya Hospital at Central South University, Hunan Key Laboratory of Kidney Disease and Blood Purification, No.139 Renmin Middle Road, Changsha, 410011, Hunan, China
| | - Ming Yang
- Department of Nephrology, The Second Xiangya Hospital at Central South University, Hunan Key Laboratory of Kidney Disease and Blood Purification, No.139 Renmin Middle Road, Changsha, 410011, Hunan, China
| | - Lin Sun
- Department of Nephrology, The Second Xiangya Hospital at Central South University, Hunan Key Laboratory of Kidney Disease and Blood Purification, No.139 Renmin Middle Road, Changsha, 410011, Hunan, China.
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